{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/N/project/suicide_study/pnas_replication/results/log/logit_6.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}18 Aug 2020, 09:58:13
{txt}
{com}. 
. if ("`model'" == "logit"){c -(}
.         use "${c -(}home_dir{c )-}/data/processed/suicide_reg_v1_raw.dta", clear
. {c )-}
{txt}
{com}. 
. if ("`model'" == "mi") {c -(}
.         use "${c -(}home_dir{c )-}/data/processed/suicide_reg_v1_imputed_M10.dta", clear  
. {c )-}
{txt}
{com}. 
. * for now, we use the following simple survey weights 
. if ("`model'" == "mi") {c -(}
.         mi svyset `geo_type' [pw=ObsWgt0] 
. {c )-}
{txt}
{com}. else {c -(}
.         svyset `geo_type' [pw=ObsWgt0]  

      {txt}pweight:{col 16}{res}ObsWgt0
          {txt}VCE:{col 16}{res}linearized
  {txt}Single unit:{col 16}{res}missing
     {txt}Strata 1:{col 16}<one>
         SU 1:{col 16}{res}county
        {txt}FPC 1:{col 16}<zero>
{p2colreset}{...}
{com}. {c )-}
{txt}
{com}. 
. * margins for each category
. program margin_interact 
{txt}  1{com}.         args X Y k model
{txt}  2{com}.         sum `X', d 
{txt}  3{com}.         local gap = (`r(max)' - `r(min)') / `k' 
{txt}  4{com}.         if ("`model'" == "logit") {c -(}
{txt}  5{com}.                 margin `Y', at(`X' = (`r(min)' (`gap') `r(max)')) predict(pr)
{txt}  6{com}.         {c )-} 
{txt}  7{com}.         else if ("`model'" == "mi") {c -(}
{txt}  8{com}.                 mimrgns `Y', at(`X' = (`r(min)' (`gap') `r(max)')) predict(pr)
{txt}  9{com}.         {c )-}       
{txt} 10{com}. end 
{txt}
{com}. 
. program mchange_mi
{txt}  1{com}.         args X k model
{txt}  2{com}.         if ("`model'" == "logit") {c -(}
{txt}  3{com}. 
.                 if ("`k'" == "continuous") {c -(}
{txt}  4{com}.                         sum `X' if e(sample), d 
{txt}  5{com}.                         margin, at(`X' = (`r(min)' `r(max)')) post predict(pr)
{txt}  6{com}.                         mlincom  2 - 1, decimal(7) stat(all)    
{txt}  7{com}.                 {c )-} 
{txt}  8{com}.                 else if ("`k'" == "binary") {c -(}
{txt}  9{com}.                         sum `X' if e(sample), d 
{txt} 10{com}.                         margin, at(`X' = (`r(min)' `r(max)')) post predict(pr)
{txt} 11{com}.                         mlincom  2 - 1, decimal(7) stat(all)
{txt} 12{com}.                 {c )-} 
{txt} 13{com}.                 else if ("`k'" == "categorical") {c -(}
{txt} 14{com}.                         margin `X' if e(sample)==1 , at() pwcompare predict(pr) 
{txt} 15{com}.                 {c )-}
{txt} 16{com}.         {c )-}
{txt} 17{com}. 
.         else if ("`model'" == "mi") {c -(}
{txt} 18{com}. 
.                 if ("`k'" == "continuous") {c -(}
{txt} 19{com}.                         sum `X' , d 
{txt} 20{com}.                         mimrgns, at(`X' = (`r(min)' `r(max)')) post predict(pr)
{txt} 21{com}.                         mlincom  2 - 1, decimal(7) stat(all)
{txt} 22{com}.                 {c )-} 
{txt} 23{com}.                 else if ("`k'" == "binary") {c -(}
{txt} 24{com}.                         sum `X' , d 
{txt} 25{com}.                         mimrgns, at(`X' = (`r(min)' `r(max)')) post predict(pr)
{txt} 26{com}.                         mlincom  2 - 1, decimal(7) stat(all)
{txt} 27{com}.                 {c )-} 
{txt} 28{com}.                 else if ("`k'" == "categorical") {c -(}
{txt} 29{com}.                         mimrgns `X' , at()   pwcompare predict(pr)      
{txt} 30{com}.                 {c )-}
{txt} 31{com}.         {c )-}
{txt} 32{com}. end
{txt}
{com}. 
. * create some dummy codings
. tab Race5, gen(race5_nh)

      {txt}Race5 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}  9,802,895       79.53       79.53
{txt}          2 {c |}{res}  1,330,104       10.79       90.32
{txt}          3 {c |}{res}    260,664        2.11       92.44
{txt}          4 {c |}{res}    250,301        2.03       94.47
{txt}          5 {c |}{res}    681,739        5.53      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res} 12,325,703      100.00
{txt}
{com}.         rename race5_nh1 White_nh 
{res}{txt}
{com}.         rename race5_nh2 Black_nh 
{res}{txt}
{com}.         rename race5_nh3 AIAN_nh 
{res}{txt}
{com}.         rename race5_nh4 AsPI_nh 
{res}{txt}
{com}.         rename race5_nh5 Hispanic
{res}{txt}
{com}. 
. tab MarStat5, gen(ms)

   {txt}MarStat5 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}  6,880,735       55.83       55.83
{txt}          2 {c |}{res}    924,215        7.50       63.32
{txt}          3 {c |}{res}  1,265,861       10.27       73.60
{txt}          4 {c |}{res}    237,203        1.92       75.52
{txt}          5 {c |}{res}  3,017,228       24.48      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res} 12,325,242      100.00
{txt}
{com}.         rename ms1 Marrd5
{res}{txt}
{com}.         rename ms2 Widow5
{res}{txt}
{com}.         rename ms3 Divor5
{res}{txt}
{com}.         rename ms4 Separ5
{res}{txt}
{com}.         rename ms5 NvMar5
{res}{txt}
{com}. 
. tab AgeGrp4, gen(ag) 

    {txt}AgeGrp4 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}  1,930,142       15.66       15.66
{txt}          2 {c |}{res}  3,549,392       28.80       44.46
{txt}          3 {c |}{res}  4,304,660       34.92       79.38
{txt}          4 {c |}{res}  2,541,509       20.62      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res} 12,325,703      100.00
{txt}
{com}.         rename ag1 Age_15_24
{res}{txt}
{com}.         rename ag2 Age_25_44
{res}{txt}
{com}.         rename ag3 Age_45_64
{res}{txt}
{com}.         rename ag4 Age_65_Up
{res}{txt}
{com}. 
. destring St, replace 
{txt}St: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(16685 missing values generated)
{res}{txt}
{com}. 
. * set-up equations
. local religion Rat_GC_ProE Rat_GC_ProM Rat_GC_ProB Rat_GC_Cath Rat_GC_Jew Rat_GC_Oth
{txt}
{com}. local contextual_control Rat_Poverty Rat_Mig_Cum Pop_Den
{txt}
{com}. 
. local religion Rat_GC_ProE Rat_GC_ProM Rat_GC_ProB Rat_GC_Jew Rat_GC_Oth
{txt}
{com}. local contextual_control Rat_Poverty Rat_Mig_Cum Pop_Den
{txt}
{com}. 
. local demographics_raw i.Female c.RAT_Female i.AgeGrp4 c.RAT_AgeGrp4_2 c.RAT_AgeGrp4_3 c.RAT_AgeGrp4_4 i.Race5 c.RAT_Race5_2 c.RAT_Race5_3 c.RAT_Race5_4 c.RAT_Race5_5 i.BornUSA c.RAT_BornUSA i.MarStat5 c.RAT_MarStat5_2 c.RAT_MarStat5_3 c.RAT_MarStat5_4 c.RAT_MarStat5_5
{txt}
{com}. local demographics_same i.Female c.std_same_prop_Sex i.AgeGrp4 c.std_same_prop_AgeGrp4 i.Race5 c.std_same_prop_Race5 i.BornUSA c.std_same_prop_BornUSA i.MarStat5 c.std_same_prop_MarStat5 
{txt}
{com}. local demographics_inter i.Female##c.std_same_prop_Sex i.AgeGrp4##c.std_same_prop_AgeGrp4 i.Race5##c.std_same_prop_Race5 i.BornUSA##c.std_same_prop_BornUSA i.MarStat5##c.std_same_prop_MarStat5
{txt}
{com}. 
. 
. if (`model_version' == 1){c -(}
.         local model_eq i.Year `demographics_raw' `contextual_control' `religion' 
.         local margin_demographics Female RAT_Female AgeGrp4 RAT_AgeGrp4_2 RAT_AgeGrp4_3 RAT_AgeGrp4_4 Race5 RAT_Race5_2 RAT_Race5_3 RAT_Race5_4 RAT_Race5_5 BornUSA RAT_BornUSA MarStat5 RAT_MarStat5_2 RAT_MarStat5_3 RAT_MarStat5_4 RAT_MarStat5_5 
. {c )-}
{txt}
{com}. if (`model_version' == 2){c -(}
.         local model_eq i.Year `demographics_raw' `contextual_control' `religion' i.UnEmpl c.RAT_UnEmpl i.PhysProb c.RAT_PhysProb
.         local margin_demographics Female RAT_Female AgeGrp4 RAT_AgeGrp4_2 RAT_AgeGrp4_3 RAT_AgeGrp4_4 Race5 RAT_Race5_2 RAT_Race5_3 RAT_Race5_4 RAT_Race5_5 BornUSA RAT_BornUSA MarStat5 RAT_MarStat5_2 RAT_MarStat5_3 RAT_MarStat5_4 RAT_MarStat5_5 UnEmpl RAT_UnEmpl PhysProb RAT_PhysProb
. {c )-}
{txt}
{com}. if (`model_version' == 3){c -(}
.         local model_eq i.Year `demographics_same' `contextual_control' `religion' 
.         local margin_demographics Female std_same_prop_Sex AgeGrp4 std_same_prop_AgeGrp4 Race5 std_same_prop_Race5 BornUSA std_same_prop_BornUSA MarStat5 std_same_prop_MarStat5 
. {c )-}
{txt}
{com}. if (`model_version' == 4){c -(}
.         local model_eq i.Year `demographics_same' `contextual_control' `religion' i.UnEmpl c.std_same_prop_UnEmpl i.PhysProb c.std_same_prop_PhysProb
.         local margin_demographics Female std_same_prop_Sex AgeGrp4 std_same_prop_AgeGrp4 Race5 std_same_prop_Race5 BornUSA std_same_prop_BornUSA MarStat5 std_same_prop_MarStat5 UnEmpl std_same_prop_UnEmpl PhysProb std_same_prop_PhysProb
. {c )-}
{txt}
{com}. if (`model_version' == 5){c -(}
.         local model_eq i.Year `demographics_inter' `contextual_control' `religion' 
. {c )-}
{txt}
{com}. if (`model_version' == 6){c -(}
.         local model_eq i.Year `demographics_inter' `contextual_control' `religion' i.UnEmpl##c.std_same_prop_UnEmpl i.PhysProb##c.std_same_prop_PhysProb
. {c )-}       
{txt}
{com}. * test how long it would take.
. * mi estimate: svy: mean Suic 
. * local demographics i.Female c.RAT_Female i.AgeGrp4 c.RAT_AgeGrp4_2 c.RAT_AgeGrp4_3 c.RAT_AgeGrp4_4 i.Race5 c.RAT_Race5_2 c.RAT_Race5_3 c.RAT_Race5_4 c.RAT_Race5_5 i.BornUSA c.RAT_BornUSA i.MarStat5 c.RAT_MarStat5_2 c.RAT_MarStat5_3 c.RAT_MarStat5_4 c.RAT_MarStat5_5
. * mi estimate: svy: logit Suic i.St `demographics' UnEmpl RAT_UnEmpl PhysProb RAT_PhysProb
. 
. * main effects : margins
. if ("`model'" == "mi"){c -(}
. 
.         mi estimate: svy: logit Suic i.St `model_eq', or 
.         estimates store m1 
. 
.         if (`model_version' <= 4){c -(}
.                 estimates restore m1
.                 mchange_mi Female "binary" "mi"
.                 estimates restore m1
.                 mchange_mi AgeGrp4 "categorical" "mi"
.                 estimates restore m1
.                 mchange_mi Race5 "categorical" "mi"
.                 estimates restore m1
.                 mchange_mi BornUSA "binary" "mi"
.                 estimates restore m1
.                 mchange_mi MarStat5 "categorical" "mi"
.                 
.                 if (`model_version' == 1 | `model_version' == 2) {c -(}
.                         estimates restore m1
.                         mchange_mi RAT_Female "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_AgeGrp4_2 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_AgeGrp4_3 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_AgeGrp4_4 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_Race5_2 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_Race5_3 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_Race5_4 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_Race5_5 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_BornUSA "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_MarStat5_2 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_MarStat5_3 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_MarStat5_4 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_MarStat5_5 "continuous" "mi"
.                 {c )-}
.                 if (`model_version' == 3 | `model_version' == 4) {c -(}
.                         estimates restore m1
.                         mchange_mi std_same_prop_Sex "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_AgeGrp4 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_Race5 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_BornUSA "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_MarStat5 "continuous" "mi"
.                 {c )-}
.         
.                 if (`model_version' == 2 | `model_version' == 4){c -(}
.                         estimates restore m1
.                         mchange_mi UnEmpl "categorical" "mi"
.                         estimates restore m1
.                         mchange_mi PhysProb "categorical" "mi"
.                 {c )-}
.         
.                 if (`model_version' == 2){c -(}
.                         estimates restore m1
.                         mchange_mi RAT_UnEmpl "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_PhysProb "continuous" "mi"
.                 {c )-}
.                 if (`model_version' == 4){c -(}
.                         estimates restore m1
.                         mchange_mi std_same_prop_UnEmpl "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_PhysProb "continuous" "mi"
.                 {c )-}               
.         {c )-}
. {c )-}
{txt}
{com}. 
. if ("`model'" == "logit"){c -(}
.         svy: logit Suic i.St `model_eq', or 
{txt}(running {bf:logit} on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 47}Number of obs{col 65}= {res}  11,587,123
{txt}{col 1}Number of PSUs{col 20}= {res}      918{txt}{col 47}Population size{col 65}={res}  411,228,041
{txt}{col 47}Design df{col 65}= {res}         917
{txt}{col 47}F({res}  66{txt},{res}    852{txt}){col 65}= {res}      457.92
{txt}{col 47}Prob > F{col 65}= {res}      0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}        Suic{col 14}{c |} Odds Ratio{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}St {c |}
{space 10}8  {c |}{col 14}{res}{space 2} 1.197014{col 26}{space 2} .1987911{col 37}{space 1}    1.08{col 46}{space 3}0.279{col 54}{space 4} .8640744{col 67}{space 3} 1.658239
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .2342574{col 26}{space 2} .0458181{col 37}{space 1}   -7.42{col 46}{space 3}0.000{col 54}{space 4} .1595835{col 67}{space 3} .3438735
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .6487235{col 26}{space 2} .1247488{col 37}{space 1}   -2.25{col 46}{space 3}0.025{col 54}{space 4} .4447933{col 67}{space 3} .9461522
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .4184355{col 26}{space 2} .0749504{col 37}{space 1}   -4.86{col 46}{space 3}0.000{col 54}{space 4} .2944146{col 67}{space 3} .5946998
{txt}{space 9}25  {c |}{col 14}{res}{space 2} .1447118{col 26}{space 2} .0265162{col 37}{space 1}  -10.55{col 46}{space 3}0.000{col 54}{space 4} .1010016{col 67}{space 3} .2073382
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .3857672{col 26}{space 2} .0765004{col 37}{space 1}   -4.80{col 46}{space 3}0.000{col 54}{space 4} .2613984{col 67}{space 3} .5693086
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .9450207{col 26}{space 2} .1891654{col 37}{space 1}   -0.28{col 46}{space 3}0.778{col 54}{space 4} .6380146{col 67}{space 3} 1.399755
{txt}{space 9}37  {c |}{col 14}{res}{space 2} .2906103{col 26}{space 2} .0528853{col 37}{space 1}   -6.79{col 46}{space 3}0.000{col 54}{space 4} .2033314{col 67}{space 3} .4153531
{txt}{space 9}40  {c |}{col 14}{res}{space 2}  .321257{col 26}{space 2}  .063478{col 37}{space 1}   -5.75{col 46}{space 3}0.000{col 54}{space 4} .2179913{col 67}{space 3} .4734413
{txt}{space 9}41  {c |}{col 14}{res}{space 2} 1.046731{col 26}{space 2} .1611172{col 37}{space 1}    0.30{col 46}{space 3}0.767{col 54}{space 4} .7738226{col 67}{space 3} 1.415887
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .3041958{col 26}{space 2} .0611378{col 37}{space 1}   -5.92{col 46}{space 3}0.000{col 54}{space 4}  .205046{col 67}{space 3} .4512894
{txt}{space 9}45  {c |}{col 14}{res}{space 2} .3185546{col 26}{space 2} .0686635{col 37}{space 1}   -5.31{col 46}{space 3}0.000{col 54}{space 4} .2086736{col 67}{space 3} .4862956
{txt}{space 9}49  {c |}{col 14}{res}{space 2} 2.144982{col 26}{space 2} .6692044{col 37}{space 1}    2.45{col 46}{space 3}0.015{col 54}{space 4} 1.162813{col 67}{space 3} 3.956741
{txt}{space 9}51  {c |}{col 14}{res}{space 2} 1.330441{col 26}{space 2} .2222171{col 37}{space 1}    1.71{col 46}{space 3}0.088{col 54}{space 4} .9585965{col 67}{space 3} 1.846527
{txt}{space 9}55  {c |}{col 14}{res}{space 2} .8056686{col 26}{space 2} .1310322{col 37}{space 1}   -1.33{col 46}{space 3}0.184{col 54}{space 4} .5855122{col 67}{space 3} 1.108605
{txt}{space 12} {c |}
{space 8}Year {c |}
{space 7}2006  {c |}{col 14}{res}{space 2} .9725621{col 26}{space 2} .0328045{col 37}{space 1}   -0.82{col 46}{space 3}0.410{col 54}{space 4} .9102661{col 67}{space 3} 1.039122
{txt}{space 7}2007  {c |}{col 14}{res}{space 2} 1.066309{col 26}{space 2} .0342375{col 37}{space 1}    2.00{col 46}{space 3}0.046{col 54}{space 4} 1.001189{col 67}{space 3} 1.135664
{txt}{space 7}2008  {c |}{col 14}{res}{space 2} 1.154374{col 26}{space 2} .0379891{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} 1.082175{col 67}{space 3}  1.23139
{txt}{space 7}2009  {c |}{col 14}{res}{space 2}  1.12239{col 26}{space 2} .0409041{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} 1.044917{col 67}{space 3} 1.205607
{txt}{space 7}2010  {c |}{col 14}{res}{space 2} 1.071331{col 26}{space 2} .0386914{col 37}{space 1}    1.91{col 46}{space 3}0.057{col 54}{space 4} .9980255{col 67}{space 3} 1.150021
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} 1.134818{col 26}{space 2} .0443752{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} 1.050987{col 67}{space 3} 1.225335
{txt}{space 12} {c |}
{space 4}1.Female {c |}{col 14}{res}{space 2} .2417845{col 26}{space 2} .0065348{col 37}{space 1}  -52.53{col 46}{space 3}0.000{col 54}{space 4} .2292938{col 67}{space 3} .2549557
{txt}std_same_p~x {c |}{col 14}{res}{space 2} 1.007571{col 26}{space 2} .0282264{col 37}{space 1}    0.27{col 46}{space 3}0.788{col 54}{space 4} .9536707{col 67}{space 3} 1.064518
{txt}{space 12} {c |}
{space 6}Female#{c |}
{space 10}c. {c |}
std_same_p~x {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .9260598{col 26}{space 2} .0489351{col 37}{space 1}   -1.45{col 46}{space 3}0.146{col 54}{space 4} .8348342{col 67}{space 3} 1.027254
{txt}{space 12} {c |}
{space 5}AgeGrp4 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 1.927372{col 26}{space 2} .0556272{col 37}{space 1}   22.73{col 46}{space 3}0.000{col 54}{space 4} 1.821234{col 67}{space 3} 2.039694
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.136007{col 26}{space 2} .0753564{col 37}{space 1}   21.51{col 46}{space 3}0.000{col 54}{space 4}  1.99312{col 67}{space 3} 2.289138
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.833062{col 26}{space 2} .0825824{col 37}{space 1}   13.45{col 46}{space 3}0.000{col 54}{space 4} 1.677948{col 67}{space 3} 2.002516
{txt}{space 12} {c |}
std_same_p~4 {c |}{col 14}{res}{space 2} .9769336{col 26}{space 2} .0301221{col 37}{space 1}   -0.76{col 46}{space 3}0.449{col 54}{space 4} .9195705{col 67}{space 3} 1.037875
{txt}{space 12} {c |}
{space 5}AgeGrp4#{c |}
{space 10}c. {c |}
std_same_p~4 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .9782075{col 26}{space 2} .0345917{col 37}{space 1}   -0.62{col 46}{space 3}0.533{col 54}{space 4} .9126216{col 67}{space 3} 1.048507
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.009712{col 26}{space 2} .0415032{col 37}{space 1}    0.24{col 46}{space 3}0.814{col 54}{space 4} .9314584{col 67}{space 3}  1.09454
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.169083{col 26}{space 2} .0489799{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} 1.076803{col 67}{space 3} 1.269272
{txt}{space 12} {c |}
{space 7}Race5 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .3719563{col 26}{space 2} .0165628{col 37}{space 1}  -22.21{col 46}{space 3}0.000{col 54}{space 4} .3408307{col 67}{space 3} .4059244
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .7219747{col 26}{space 2} .0722055{col 37}{space 1}   -3.26{col 46}{space 3}0.001{col 54}{space 4} .5933076{col 67}{space 3} .8785451
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .6386936{col 26}{space 2} .0512813{col 37}{space 1}   -5.58{col 46}{space 3}0.000{col 54}{space 4} .5455801{col 67}{space 3} .7476986
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  .407164{col 26}{space 2}  .026053{col 37}{space 1}  -14.04{col 46}{space 3}0.000{col 54}{space 4} .3591138{col 67}{space 3} .4616435
{txt}{space 12} {c |}
std_same_~e5 {c |}{col 14}{res}{space 2} .9757999{col 26}{space 2} .0323592{col 37}{space 1}   -0.74{col 46}{space 3}0.460{col 54}{space 4} .9143156{col 67}{space 3} 1.041419
{txt}{space 12} {c |}
{space 7}Race5#{c |}
{space 10}c. {c |}
std_same_~e5 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .8842769{col 26}{space 2} .0593413{col 37}{space 1}   -1.83{col 46}{space 3}0.067{col 54}{space 4} .7751595{col 67}{space 3} 1.008755
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.137824{col 26}{space 2} .0862878{col 37}{space 1}    1.70{col 46}{space 3}0.089{col 54}{space 4} .9804791{col 67}{space 3}  1.32042
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.059506{col 26}{space 2} .0506699{col 37}{space 1}    1.21{col 46}{space 3}0.227{col 54}{space 4} .9645875{col 67}{space 3} 1.163764
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 1.076814{col 26}{space 2} .0593607{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4} .9663962{col 67}{space 3} 1.199848
{txt}{space 12} {c |}
{space 3}1.BornUSA {c |}{col 14}{res}{space 2} 1.365936{col 26}{space 2} .0681121{col 37}{space 1}    6.25{col 46}{space 3}0.000{col 54}{space 4} 1.238595{col 67}{space 3} 1.506369
{txt}std_same_p~A {c |}{col 14}{res}{space 2} .9890935{col 26}{space 2} .0298529{col 37}{space 1}   -0.36{col 46}{space 3}0.716{col 54}{space 4}  .932207{col 67}{space 3} 1.049451
{txt}{space 12} {c |}
{space 5}BornUSA#{c |}
{space 10}c. {c |}
std_same_p~A {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.006715{col 26}{space 2} .0487658{col 37}{space 1}    0.14{col 46}{space 3}0.890{col 54}{space 4}  .915418{col 67}{space 3} 1.107117
{txt}{space 12} {c |}
{space 4}MarStat5 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 1.933218{col 26}{space 2} .0765655{col 37}{space 1}   16.64{col 46}{space 3}0.000{col 54}{space 4} 1.788646{col 67}{space 3} 2.089477
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.628734{col 26}{space 2} .0533336{col 37}{space 1}   47.64{col 46}{space 3}0.000{col 54}{space 4} 2.526121{col 67}{space 3} 2.735516
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.260097{col 26}{space 2} .1288904{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} 1.030915{col 67}{space 3} 1.540228
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 1.832067{col 26}{space 2} .0453219{col 37}{space 1}   24.47{col 46}{space 3}0.000{col 54}{space 4} 1.745245{col 67}{space 3} 1.923208
{txt}{space 12} {c |}
std_same_~t5 {c |}{col 14}{res}{space 2} .9225811{col 26}{space 2} .0178324{col 37}{space 1}   -4.17{col 46}{space 3}0.000{col 54}{space 4} .8882395{col 67}{space 3} .9582504
{txt}{space 12} {c |}
{space 4}MarStat5#{c |}
{space 10}c. {c |}
std_same_~t5 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 1.032579{col 26}{space 2} .0462037{col 37}{space 1}    0.72{col 46}{space 3}0.474{col 54}{space 4} .9457687{col 67}{space 3} 1.127357
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.080496{col 26}{space 2} .0292869{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} 1.024521{col 67}{space 3} 1.139529
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.315209{col 26}{space 2}  .094931{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} 1.141496{col 67}{space 3} 1.515357
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 1.147985{col 26}{space 2} .0382837{col 37}{space 1}    4.14{col 46}{space 3}0.000{col 54}{space 4} 1.075257{col 67}{space 3} 1.225632
{txt}{space 12} {c |}
{space 1}Rat_Poverty {c |}{col 14}{res}{space 2}  .991712{col 26}{space 2} .0044624{col 37}{space 1}   -1.85{col 46}{space 3}0.065{col 54}{space 4} .9829928{col 67}{space 3} 1.000508
{txt}{space 1}Rat_Mig_Cum {c |}{col 14}{res}{space 2} .7410724{col 26}{space 2} .8276389{col 37}{space 1}   -0.27{col 46}{space 3}0.789{col 54}{space 4} .0827888{col 67}{space 3} 6.633604
{txt}{space 5}Pop_Den {c |}{col 14}{res}{space 2} .9999813{col 26}{space 2} .0000163{col 37}{space 1}   -1.15{col 46}{space 3}0.252{col 54}{space 4} .9999494{col 67}{space 3} 1.000013
{txt}{space 1}Rat_GC_ProE {c |}{col 14}{res}{space 2} .9999734{col 26}{space 2} .0000238{col 37}{space 1}   -1.11{col 46}{space 3}0.266{col 54}{space 4} .9999266{col 67}{space 3}  1.00002
{txt}{space 1}Rat_GC_ProM {c |}{col 14}{res}{space 2} 1.000037{col 26}{space 2} .0000223{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4} .9999938{col 67}{space 3} 1.000081
{txt}{space 1}Rat_GC_ProB {c |}{col 14}{res}{space 2} .9999706{col 26}{space 2} .0001348{col 37}{space 1}   -0.22{col 46}{space 3}0.828{col 54}{space 4} .9997062{col 67}{space 3} 1.000235
{txt}{space 2}Rat_GC_Jew {c |}{col 14}{res}{space 2} 1.000039{col 26}{space 2} .0000914{col 37}{space 1}    0.43{col 46}{space 3}0.668{col 54}{space 4} .9998599{col 67}{space 3} 1.000219
{txt}{space 2}Rat_GC_Oth {c |}{col 14}{res}{space 2} .9999239{col 26}{space 2} .0000381{col 37}{space 1}   -2.00{col 46}{space 3}0.046{col 54}{space 4} .9998491{col 67}{space 3} .9999987
{txt}{space 4}1.UnEmpl {c |}{col 14}{res}{space 2} 6.030925{col 26}{space 2} .3053008{col 37}{space 1}   35.50{col 46}{space 3}0.000{col 54}{space 4} 5.460558{col 67}{space 3} 6.660869
{txt}std_same_p~l {c |}{col 14}{res}{space 2} .9350707{col 26}{space 2} .0344035{col 37}{space 1}   -1.82{col 46}{space 3}0.068{col 54}{space 4}  .869932{col 67}{space 3} 1.005087
{txt}{space 12} {c |}
{space 6}UnEmpl#{c |}
{space 10}c. {c |}
std_same_p~l {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.071292{col 26}{space 2} .0774909{col 37}{space 1}    0.95{col 46}{space 3}0.341{col 54}{space 4} .9295136{col 67}{space 3} 1.234696
{txt}{space 12} {c |}
{space 2}1.PhysProb {c |}{col 14}{res}{space 2} 1.443135{col 26}{space 2} .0447487{col 37}{space 1}   11.83{col 46}{space 3}0.000{col 54}{space 4} 1.357932{col 67}{space 3} 1.533684
{txt}std_same_p~b {c |}{col 14}{res}{space 2} .9521878{col 26}{space 2} .0328005{col 37}{space 1}   -1.42{col 46}{space 3}0.155{col 54}{space 4} .8899428{col 67}{space 3} 1.018786
{txt}{space 12} {c |}
{space 4}PhysProb#{c |}
{space 10}c. {c |}
std_same_p~b {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .7888707{col 26}{space 2} .0568697{col 37}{space 1}   -3.29{col 46}{space 3}0.001{col 54}{space 4} .6847966{col 67}{space 3} .9087619
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}  .000055{col 26}{space 2} .0000115{col 37}{space 1}  -47.08{col 46}{space 3}0.000{col 54}{space 4} .0000366{col 67}{space 3} .0000828
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {res:_cons} estimates baseline odds{txt}.{p_end}
{com}.         estimates store m1 
. 
.         if (`model_version' <= 4){c -(}
.                 mchange `margin_demographics', amount(all) delta(100) statistics(all) decimals(7)
.         {c )-}
. 
. {c )-}
{txt}
{com}. 
. if (`model_version' == 5 | `model_version' == 6) {c -(}
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.         margin_interact std_same_prop_Sex Female 5 `model'

                      {txt}std_same_prop_Sex
{hline 61}
      Percentiles      Smallest
 1%    {res}-2.198216      -3.651791
{txt} 5%    {res}-1.338897      -3.651791
{txt}10%    {res}-.9757933      -3.651791       {txt}Obs         {res} 12,325,703
{txt}25%    {res}-.5328037      -3.651791       {txt}Sum of Wgt. {res}   12325703

{txt}50%    {res} .0197431                      {txt}Mean          {res} .0277567
                        {txt}Largest       Std. Dev.     {res} .9170927
{txt}75%    {res}  .572771       3.651791
{txt}90%    {res} 1.042457       3.651791       {txt}Variance      {res}  .841059
{txt}95%    {res} 1.417636       3.651791       {txt}Skewness      {res}  .036642
{txt}99%    {res} 2.199479       3.651791       {txt}Kurtosis      {res} 5.728495

{txt}Predictive margins

{col 1}Number of strata{col 20}= {res}        1{txt}{col 47}Number of obs{col 65}= {res}  11,525,152
{txt}{col 1}Number of PSUs{col 20}= {res}      918{txt}{col 47}Population size{col 65}={res}  411,228,041
{txt}{col 47}Subpop. no. obs{col 65}={res}   10,852,081
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 1}Model VCE{col 14}: {res}Linearized{txt}{col 47}Design df{col 65}= {res}         917

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(Suic), predict(pr)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:std_same_p~x}{space 4}{txt:=} {space 2}-3.651791}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:std_same_p~x}{space 4}{txt:=} {space 2}-2.191074}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:std_same_p~x}{space 4}{txt:=} {space 2}-.7303581}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:std_same_p~x}{space 4}{txt:=} {space 3}.7303581}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:std_same_p~x}{space 4}{txt:=} {space 3}2.191074}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:std_same_p~x}{space 4}{txt:=} {space 3}3.651791}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}_at#Female {c |}
{space 8}1 0  {c |}{col 14}{res}{space 2} .0001102{col 26}{space 2} .0000114{col 37}{space 1}    9.66{col 46}{space 3}0.000{col 54}{space 4} .0000878{col 67}{space 3} .0001326
{txt}{space 8}1 1  {c |}{col 14}{res}{space 2} .0000353{col 26}{space 2} 4.06e-06{col 37}{space 1}    8.68{col 46}{space 3}0.000{col 54}{space 4} .0000273{col 67}{space 3} .0000433
{txt}{space 8}2 0  {c |}{col 14}{res}{space 2} .0001114{col 26}{space 2} 7.10e-06{col 37}{space 1}   15.69{col 46}{space 3}0.000{col 54}{space 4} .0000975{col 67}{space 3} .0001254
{txt}{space 8}2 1  {c |}{col 14}{res}{space 2} .0000319{col 26}{space 2} 2.35e-06{col 37}{space 1}   13.56{col 46}{space 3}0.000{col 54}{space 4} .0000273{col 67}{space 3} .0000365
{txt}{space 8}3 0  {c |}{col 14}{res}{space 2} .0001127{col 26}{space 2} 3.09e-06{col 37}{space 1}   36.46{col 46}{space 3}0.000{col 54}{space 4} .0001066{col 67}{space 3} .0001187
{txt}{space 8}3 1  {c |}{col 14}{res}{space 2} .0000288{col 26}{space 2} 1.07e-06{col 37}{space 1}   26.84{col 46}{space 3}0.000{col 54}{space 4} .0000267{col 67}{space 3} .0000309
{txt}{space 8}4 0  {c |}{col 14}{res}{space 2} .0001139{col 26}{space 2} 3.20e-06{col 37}{space 1}   35.58{col 46}{space 3}0.000{col 54}{space 4} .0001076{col 67}{space 3} .0001202
{txt}{space 8}4 1  {c |}{col 14}{res}{space 2}  .000026{col 26}{space 2} 8.66e-07{col 37}{space 1}   30.09{col 46}{space 3}0.000{col 54}{space 4} .0000244{col 67}{space 3} .0000277
{txt}{space 8}5 0  {c |}{col 14}{res}{space 2} .0001152{col 26}{space 2} 7.44e-06{col 37}{space 1}   15.48{col 46}{space 3}0.000{col 54}{space 4} .0001006{col 67}{space 3} .0001298
{txt}{space 8}5 1  {c |}{col 14}{res}{space 2} .0000235{col 26}{space 2} 1.60e-06{col 37}{space 1}   14.75{col 46}{space 3}0.000{col 54}{space 4} .0000204{col 67}{space 3} .0000267
{txt}{space 8}6 0  {c |}{col 14}{res}{space 2} .0001165{col 26}{space 2} .0000122{col 37}{space 1}    9.58{col 46}{space 3}0.000{col 54}{space 4} .0000926{col 67}{space 3} .0001403
{txt}{space 8}6 1  {c |}{col 14}{res}{space 2} .0000213{col 26}{space 2} 2.32e-06{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .0000167{col 67}{space 3} .0000258
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.         margin_interact std_same_prop_AgeGrp4 AgeGrp4 5 `model'

                    {txt}std_same_prop_AgeGrp4
{hline 61}
      Percentiles      Smallest
 1%    {res}-2.616519      -5.047376
{txt} 5%    {res}-1.386563      -5.047376
{txt}10%    {res}-1.060889      -5.047376       {txt}Obs         {res} 12,325,703
{txt}25%    {res}-.4953907      -5.047376       {txt}Sum of Wgt. {res}   12325703

{txt}50%    {res} .0626631                      {txt}Mean          {res} .1298547
                        {txt}Largest       Std. Dev.     {res} 1.066722
{txt}75%    {res} .6755717       5.422427
{txt}90%    {res} 1.363808       5.422427       {txt}Variance      {res} 1.137896
{txt}95%    {res} 1.896452       5.422427       {txt}Skewness      {res}  .405324
{txt}99%    {res} 3.088452       5.422427       {txt}Kurtosis      {res}  5.40646

{txt}Predictive margins

{col 1}Number of strata{col 20}= {res}        1{txt}{col 47}Number of obs{col 65}= {res}  11,525,152
{txt}{col 1}Number of PSUs{col 20}= {res}      918{txt}{col 47}Population size{col 65}={res}  411,228,041
{txt}{col 47}Subpop. no. obs{col 65}={res}   10,852,081
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 1}Model VCE{col 14}: {res}Linearized{txt}{col 47}Design df{col 65}= {res}         917

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(Suic), predict(pr)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:std_same_p~4}{space 4}{txt:=} {space 2}-5.047376}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:std_same_p~4}{space 4}{txt:=} {space 2}-2.953415}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:std_same_p~4}{space 4}{txt:=} {space 2}-.8594548}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:std_same_p~4}{space 4}{txt:=} {space 3}1.234506}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:std_same_p~4}{space 4}{txt:=} {space 3}3.328466}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:std_same_p~4}{space 4}{txt:=} {space 3}5.422427}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}_at#AgeGrp4 {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .0000447{col 26}{space 2} 7.13e-06{col 37}{space 1}    6.27{col 46}{space 3}0.000{col 54}{space 4} .0000307{col 67}{space 3} .0000586
{txt}{space 8}1 2  {c |}{col 14}{res}{space 2} .0000962{col 26}{space 2} 8.76e-06{col 37}{space 1}   10.98{col 46}{space 3}0.000{col 54}{space 4}  .000079{col 67}{space 3} .0001134
{txt}{space 8}1 3  {c |}{col 14}{res}{space 2} .0000908{col 26}{space 2} 8.49e-06{col 37}{space 1}   10.70{col 46}{space 3}0.000{col 54}{space 4} .0000742{col 67}{space 3} .0001075
{txt}{space 8}1 4  {c |}{col 14}{res}{space 2} .0000372{col 26}{space 2} 4.42e-06{col 37}{space 1}    8.41{col 46}{space 3}0.000{col 54}{space 4} .0000285{col 67}{space 3} .0000459
{txt}{space 8}2 1  {c |}{col 14}{res}{space 2} .0000425{col 26}{space 2} 4.15e-06{col 37}{space 1}   10.26{col 46}{space 3}0.000{col 54}{space 4} .0000344{col 67}{space 3} .0000507
{txt}{space 8}2 2  {c |}{col 14}{res}{space 2} .0000875{col 26}{space 2} 5.18e-06{col 37}{space 1}   16.88{col 46}{space 3}0.000{col 54}{space 4} .0000773{col 67}{space 3} .0000976
{txt}{space 8}2 3  {c |}{col 14}{res}{space 2} .0000883{col 26}{space 2} 5.14e-06{col 37}{space 1}   17.17{col 46}{space 3}0.000{col 54}{space 4} .0000782{col 67}{space 3} .0000983
{txt}{space 8}2 4  {c |}{col 14}{res}{space 2} .0000491{col 26}{space 2} 3.45e-06{col 37}{space 1}   14.23{col 46}{space 3}0.000{col 54}{space 4} .0000424{col 67}{space 3} .0000559
{txt}{space 8}3 1  {c |}{col 14}{res}{space 2} .0000405{col 26}{space 2} 1.75e-06{col 37}{space 1}   23.10{col 46}{space 3}0.000{col 54}{space 4} .0000371{col 67}{space 3} .0000439
{txt}{space 8}3 2  {c |}{col 14}{res}{space 2} .0000795{col 26}{space 2} 2.47e-06{col 37}{space 1}   32.22{col 46}{space 3}0.000{col 54}{space 4} .0000747{col 67}{space 3} .0000844
{txt}{space 8}3 3  {c |}{col 14}{res}{space 2} .0000858{col 26}{space 2} 2.29e-06{col 37}{space 1}   37.41{col 46}{space 3}0.000{col 54}{space 4} .0000813{col 67}{space 3} .0000903
{txt}{space 8}3 4  {c |}{col 14}{res}{space 2} .0000649{col 26}{space 2} 1.95e-06{col 37}{space 1}   33.26{col 46}{space 3}0.000{col 54}{space 4} .0000611{col 67}{space 3} .0000687
{txt}{space 8}4 1  {c |}{col 14}{res}{space 2} .0000386{col 26}{space 2} 1.96e-06{col 37}{space 1}   19.70{col 46}{space 3}0.000{col 54}{space 4} .0000347{col 67}{space 3} .0000424
{txt}{space 8}4 2  {c |}{col 14}{res}{space 2} .0000723{col 26}{space 2} 1.85e-06{col 37}{space 1}   39.13{col 46}{space 3}0.000{col 54}{space 4} .0000687{col 67}{space 3}  .000076
{txt}{space 8}4 3  {c |}{col 14}{res}{space 2} .0000833{col 26}{space 2} 2.23e-06{col 37}{space 1}   37.42{col 46}{space 3}0.000{col 54}{space 4}  .000079{col 67}{space 3} .0000877
{txt}{space 8}4 4  {c |}{col 14}{res}{space 2} .0000857{col 26}{space 2} 3.86e-06{col 37}{space 1}   22.19{col 46}{space 3}0.000{col 54}{space 4} .0000781{col 67}{space 3} .0000933
{txt}{space 8}5 1  {c |}{col 14}{res}{space 2} .0000367{col 26}{space 2} 3.96e-06{col 37}{space 1}    9.28{col 46}{space 3}0.000{col 54}{space 4}  .000029{col 67}{space 3} .0000445
{txt}{space 8}5 2  {c |}{col 14}{res}{space 2} .0000658{col 26}{space 2} 3.34e-06{col 37}{space 1}   19.68{col 46}{space 3}0.000{col 54}{space 4} .0000592{col 67}{space 3} .0000723
{txt}{space 8}5 3  {c |}{col 14}{res}{space 2}  .000081{col 26}{space 2} 4.72e-06{col 37}{space 1}   17.18{col 46}{space 3}0.000{col 54}{space 4} .0000717{col 67}{space 3} .0000903
{txt}{space 8}5 4  {c |}{col 14}{res}{space 2} .0001132{col 26}{space 2} .0000103{col 37}{space 1}   10.97{col 46}{space 3}0.000{col 54}{space 4} .0000929{col 67}{space 3} .0001335
{txt}{space 8}6 1  {c |}{col 14}{res}{space 2}  .000035{col 26}{space 2} 5.95e-06{col 37}{space 1}    5.87{col 46}{space 3}0.000{col 54}{space 4} .0000233{col 67}{space 3} .0000467
{txt}{space 8}6 2  {c |}{col 14}{res}{space 2} .0000598{col 26}{space 2} 4.91e-06{col 37}{space 1}   12.17{col 46}{space 3}0.000{col 54}{space 4} .0000502{col 67}{space 3} .0000695
{txt}{space 8}6 3  {c |}{col 14}{res}{space 2} .0000787{col 26}{space 2} 7.36e-06{col 37}{space 1}   10.70{col 46}{space 3}0.000{col 54}{space 4} .0000643{col 67}{space 3} .0000932
{txt}{space 8}6 4  {c |}{col 14}{res}{space 2} .0001495{col 26}{space 2}  .000021{col 37}{space 1}    7.12{col 46}{space 3}0.000{col 54}{space 4} .0001082{col 67}{space 3} .0001907
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.         margin_interact std_same_prop_Race5 Race5 5 `model'

                     {txt}std_same_prop_Race5
{hline 61}
      Percentiles      Smallest
 1%    {res} -2.38687      -3.559958
{txt} 5%    {res}-1.335796      -3.559958
{txt}10%    {res} -.954112      -3.559958       {txt}Obs         {res} 12,325,703
{txt}25%    {res}-.2537747      -3.559958       {txt}Sum of Wgt. {res}   12325703

{txt}50%    {res} .4283095                      {txt}Mean          {res} .4280245
                        {txt}Largest       Std. Dev.     {res} 1.247861
{txt}75%    {res} 1.022571       8.613633
{txt}90%    {res} 1.233253       8.613633       {txt}Variance      {res} 1.557157
{txt}95%    {res} 2.080373       8.613633       {txt}Skewness      {res} 1.751577
{txt}99%    {res} 6.650221       8.613633       {txt}Kurtosis      {res} 11.82055

{txt}Predictive margins

{col 1}Number of strata{col 20}= {res}        1{txt}{col 47}Number of obs{col 65}= {res}  11,525,152
{txt}{col 1}Number of PSUs{col 20}= {res}      918{txt}{col 47}Population size{col 65}={res}  411,228,041
{txt}{col 47}Subpop. no. obs{col 65}={res}   10,852,081
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 1}Model VCE{col 14}: {res}Linearized{txt}{col 47}Design df{col 65}= {res}         917

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(Suic), predict(pr)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:std_same_~e5}{space 4}{txt:=} {space 2}-3.559958}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:std_same_~e5}{space 4}{txt:=} {space 3}-1.12524}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:std_same_~e5}{space 4}{txt:=} {space 3}1.309478}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:std_same_~e5}{space 4}{txt:=} {space 3}3.744196}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:std_same_~e5}{space 4}{txt:=} {space 3}6.178914}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:std_same_~e5}{space 4}{txt:=} {space 3}8.613633}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}_at#Race5 {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .0000888{col 26}{space 2} .0000102{col 37}{space 1}    8.66{col 46}{space 3}0.000{col 54}{space 4} .0000687{col 67}{space 3} .0001089
{txt}{space 8}1 2  {c |}{col 14}{res}{space 2} .0000512{col 26}{space 2} 9.77e-06{col 37}{space 1}    5.24{col 46}{space 3}0.000{col 54}{space 4}  .000032{col 67}{space 3} .0000703
{txt}{space 8}1 3  {c |}{col 14}{res}{space 2} .0000405{col 26}{space 2} .0000119{col 37}{space 1}    3.42{col 46}{space 3}0.001{col 54}{space 4} .0000172{col 67}{space 3} .0000638
{txt}{space 8}1 4  {c |}{col 14}{res}{space 2} .0000462{col 26}{space 2} 7.26e-06{col 37}{space 1}    6.36{col 46}{space 3}0.000{col 54}{space 4} .0000319{col 67}{space 3} .0000604
{txt}{space 8}1 5  {c |}{col 14}{res}{space 2} .0000278{col 26}{space 2} 4.56e-06{col 37}{space 1}    6.09{col 46}{space 3}0.000{col 54}{space 4} .0000188{col 67}{space 3} .0000367
{txt}{space 8}2 1  {c |}{col 14}{res}{space 2} .0000837{col 26}{space 2} 3.16e-06{col 37}{space 1}   26.46{col 46}{space 3}0.000{col 54}{space 4} .0000775{col 67}{space 3} .0000899
{txt}{space 8}2 2  {c |}{col 14}{res}{space 2} .0000357{col 26}{space 2} 2.98e-06{col 37}{space 1}   11.99{col 46}{space 3}0.000{col 54}{space 4} .0000299{col 67}{space 3} .0000416
{txt}{space 8}2 3  {c |}{col 14}{res}{space 2} .0000522{col 26}{space 2} 7.87e-06{col 37}{space 1}    6.63{col 46}{space 3}0.000{col 54}{space 4} .0000368{col 67}{space 3} .0000677
{txt}{space 8}2 4  {c |}{col 14}{res}{space 2} .0000501{col 26}{space 2} 5.07e-06{col 37}{space 1}    9.88{col 46}{space 3}0.000{col 54}{space 4} .0000401{col 67}{space 3}   .00006
{txt}{space 8}2 5  {c |}{col 14}{res}{space 2} .0000313{col 26}{space 2} 2.95e-06{col 37}{space 1}   10.64{col 46}{space 3}0.000{col 54}{space 4} .0000256{col 67}{space 3} .0000371
{txt}{space 8}3 1  {c |}{col 14}{res}{space 2} .0000788{col 26}{space 2} 3.99e-06{col 37}{space 1}   19.76{col 46}{space 3}0.000{col 54}{space 4}  .000071{col 67}{space 3} .0000866
{txt}{space 8}3 2  {c |}{col 14}{res}{space 2}  .000025{col 26}{space 2} 1.44e-06{col 37}{space 1}   17.38{col 46}{space 3}0.000{col 54}{space 4} .0000221{col 67}{space 3} .0000278
{txt}{space 8}3 3  {c |}{col 14}{res}{space 2} .0000674{col 26}{space 2} 6.34e-06{col 37}{space 1}   10.62{col 46}{space 3}0.000{col 54}{space 4} .0000549{col 67}{space 3} .0000798
{txt}{space 8}3 4  {c |}{col 14}{res}{space 2} .0000543{col 26}{space 2} 3.30e-06{col 37}{space 1}   16.44{col 46}{space 3}0.000{col 54}{space 4} .0000478{col 67}{space 3} .0000608
{txt}{space 8}3 5  {c |}{col 14}{res}{space 2} .0000354{col 26}{space 2} 1.88e-06{col 37}{space 1}   18.85{col 46}{space 3}0.000{col 54}{space 4} .0000317{col 67}{space 3}  .000039
{txt}{space 8}4 1  {c |}{col 14}{res}{space 2} .0000743{col 26}{space 2} 9.60e-06{col 37}{space 1}    7.73{col 46}{space 3}0.000{col 54}{space 4} .0000554{col 67}{space 3} .0000931
{txt}{space 8}4 2  {c |}{col 14}{res}{space 2} .0000174{col 26}{space 2} 2.78e-06{col 37}{space 1}    6.26{col 46}{space 3}0.000{col 54}{space 4}  .000012{col 67}{space 3} .0000229
{txt}{space 8}4 3  {c |}{col 14}{res}{space 2} .0000869{col 26}{space 2} .0000182{col 37}{space 1}    4.76{col 46}{space 3}0.000{col 54}{space 4} .0000511{col 67}{space 3} .0001227
{txt}{space 8}4 4  {c |}{col 14}{res}{space 2} .0000589{col 26}{space 2} 4.20e-06{col 37}{space 1}   14.02{col 46}{space 3}0.000{col 54}{space 4} .0000506{col 67}{space 3} .0000671
{txt}{space 8}4 5  {c |}{col 14}{res}{space 2} .0000399{col 26}{space 2} 3.76e-06{col 37}{space 1}   10.61{col 46}{space 3}0.000{col 54}{space 4} .0000325{col 67}{space 3} .0000473
{txt}{space 8}5 1  {c |}{col 14}{res}{space 2}   .00007{col 26}{space 2} .0000147{col 37}{space 1}    4.77{col 46}{space 3}0.000{col 54}{space 4} .0000412{col 67}{space 3} .0000987
{txt}{space 8}5 2  {c |}{col 14}{res}{space 2} .0000122{col 26}{space 2} 3.30e-06{col 37}{space 1}    3.69{col 46}{space 3}0.000{col 54}{space 4} 5.70e-06{col 67}{space 3} .0000187
{txt}{space 8}5 3  {c |}{col 14}{res}{space 2} .0001121{col 26}{space 2} .0000402{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} .0000333{col 67}{space 3}  .000191
{txt}{space 8}5 4  {c |}{col 14}{res}{space 2} .0000639{col 26}{space 2} 7.67e-06{col 37}{space 1}    8.33{col 46}{space 3}0.000{col 54}{space 4} .0000488{col 67}{space 3} .0000789
{txt}{space 8}5 5  {c |}{col 14}{res}{space 2}  .000045{col 26}{space 2} 7.40e-06{col 37}{space 1}    6.08{col 46}{space 3}0.000{col 54}{space 4} .0000305{col 67}{space 3} .0000595
{txt}{space 8}6 1  {c |}{col 14}{res}{space 2} .0000659{col 26}{space 2} .0000191{col 37}{space 1}    3.45{col 46}{space 3}0.001{col 54}{space 4} .0000284{col 67}{space 3} .0001034
{txt}{space 8}6 2  {c |}{col 14}{res}{space 2} 8.50e-06{col 26}{space 2} 3.26e-06{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} 2.10e-06{col 67}{space 3} .0000149
{txt}{space 8}6 3  {c |}{col 14}{res}{space 2} .0001446{col 26}{space 2}  .000074{col 37}{space 1}    1.96{col 46}{space 3}0.051{col 54}{space 4}-5.17e-07{col 67}{space 3} .0002898
{txt}{space 8}6 4  {c |}{col 14}{res}{space 2} .0000693{col 26}{space 2} .0000123{col 37}{space 1}    5.62{col 46}{space 3}0.000{col 54}{space 4} .0000451{col 67}{space 3} .0000934
{txt}{space 8}6 5  {c |}{col 14}{res}{space 2} .0000508{col 26}{space 2} .0000121{col 37}{space 1}    4.18{col 46}{space 3}0.000{col 54}{space 4} .0000269{col 67}{space 3} .0000746
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.         margin_interact std_same_prop_BornUSA BornUSA 5 `model'

                    {txt}std_same_prop_BornUSA
{hline 61}
      Percentiles      Smallest
 1%    {res}-5.212165      -7.767567
{txt} 5%    {res}-2.741793      -7.767567
{txt}10%    {res}-1.727814      -7.767567       {txt}Obs         {res} 12,325,703
{txt}25%    {res}-.5312092      -7.767567       {txt}Sum of Wgt. {res}   12325703

{txt}50%    {res} .1453823                      {txt}Mean          {res}-.1121698
                        {txt}Largest       Std. Dev.     {res} 1.410662
{txt}75%    {res} .6559842       7.767567
{txt}90%    {res} .8395722       7.767567       {txt}Variance      {res} 1.989967
{txt}95%    {res}  .913883       7.767567       {txt}Skewness      {res} -.743237
{txt}99%    {res} 4.551424       7.767567       {txt}Kurtosis      {res} 8.949475

{txt}Predictive margins

{col 1}Number of strata{col 20}= {res}        1{txt}{col 47}Number of obs{col 65}= {res}  11,525,152
{txt}{col 1}Number of PSUs{col 20}= {res}      918{txt}{col 47}Population size{col 65}={res}  411,228,041
{txt}{col 47}Subpop. no. obs{col 65}={res}   10,852,081
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 1}Model VCE{col 14}: {res}Linearized{txt}{col 47}Design df{col 65}= {res}         917

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(Suic), predict(pr)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:std_same_p~A}{space 4}{txt:=} {space 2}-7.767567}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:std_same_p~A}{space 4}{txt:=} {space 3}-4.66054}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:std_same_p~A}{space 4}{txt:=} {space 2}-1.553513}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:std_same_p~A}{space 4}{txt:=} {space 3}1.553513}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:std_same_p~A}{space 4}{txt:=} {space 4}4.66054}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:std_same_p~A}{space 4}{txt:=} {space 3}7.767567}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}_at#BornUSA {c |}
{space 8}1 0  {c |}{col 14}{res}{space 2} .0000562{col 26}{space 2} .0000152{col 37}{space 1}    3.69{col 46}{space 3}0.000{col 54}{space 4} .0000263{col 67}{space 3} .0000861
{txt}{space 8}1 1  {c |}{col 14}{res}{space 2} .0000728{col 26}{space 2}  .000011{col 37}{space 1}    6.63{col 46}{space 3}0.000{col 54}{space 4} .0000513{col 67}{space 3} .0000944
{txt}{space 8}2 0  {c |}{col 14}{res}{space 2} .0000543{col 26}{space 2} 9.74e-06{col 37}{space 1}    5.58{col 46}{space 3}0.000{col 54}{space 4} .0000352{col 67}{space 3} .0000734
{txt}{space 8}2 1  {c |}{col 14}{res}{space 2} .0000719{col 26}{space 2} 6.04e-06{col 37}{space 1}   11.90{col 46}{space 3}0.000{col 54}{space 4}   .00006{col 67}{space 3} .0000837
{txt}{space 8}3 0  {c |}{col 14}{res}{space 2} .0000525{col 26}{space 2} 4.79e-06{col 37}{space 1}   10.95{col 46}{space 3}0.000{col 54}{space 4} .0000431{col 67}{space 3} .0000619
{txt}{space 8}3 1  {c |}{col 14}{res}{space 2} .0000709{col 26}{space 2} 1.65e-06{col 37}{space 1}   43.03{col 46}{space 3}0.000{col 54}{space 4} .0000677{col 67}{space 3} .0000742
{txt}{space 8}4 0  {c |}{col 14}{res}{space 2} .0000507{col 26}{space 2} 2.32e-06{col 37}{space 1}   21.84{col 46}{space 3}0.000{col 54}{space 4} .0000462{col 67}{space 3} .0000553
{txt}{space 8}4 1  {c |}{col 14}{res}{space 2}   .00007{col 26}{space 2} 3.97e-06{col 37}{space 1}   17.65{col 46}{space 3}0.000{col 54}{space 4} .0000622{col 67}{space 3} .0000778
{txt}{space 8}5 0  {c |}{col 14}{res}{space 2}  .000049{col 26}{space 2} 5.68e-06{col 37}{space 1}    8.63{col 46}{space 3}0.000{col 54}{space 4} .0000379{col 67}{space 3} .0000602
{txt}{space 8}5 1  {c |}{col 14}{res}{space 2} .0000691{col 26}{space 2} 8.48e-06{col 37}{space 1}    8.14{col 46}{space 3}0.000{col 54}{space 4} .0000524{col 67}{space 3} .0000857
{txt}{space 8}6 0  {c |}{col 14}{res}{space 2} .0000474{col 26}{space 2} 9.75e-06{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .0000282{col 67}{space 3} .0000665
{txt}{space 8}6 1  {c |}{col 14}{res}{space 2} .0000682{col 26}{space 2}  .000013{col 37}{space 1}    5.26{col 46}{space 3}0.000{col 54}{space 4} .0000427{col 67}{space 3} .0000936
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.         margin_interact std_same_prop_MarStat5 MarStat5 5 `model'

                   {txt}std_same_prop_MarStat5
{hline 61}
      Percentiles      Smallest
 1%    {res}-2.414584      -4.713632
{txt} 5%    {res}-1.571053      -4.713632
{txt}10%    {res}-1.259019      -4.713632       {txt}Obs         {res} 12,325,242
{txt}25%    {res}-.5265412      -4.713632       {txt}Sum of Wgt. {res}   12325242

{txt}50%    {res} .1617559                      {txt}Mean          {res} .1414067
                        {txt}Largest       Std. Dev.     {res} 1.067954
{txt}75%    {res} .8204068       5.008139
{txt}90%    {res} 1.396341       5.008139       {txt}Variance      {res} 1.140527
{txt}95%    {res} 1.714077       5.008139       {txt}Skewness      {res}-.0465515
{txt}99%    {res} 2.728096       5.008139       {txt}Kurtosis      {res} 4.792867

{txt}Predictive margins

{col 1}Number of strata{col 20}= {res}        1{txt}{col 47}Number of obs{col 65}= {res}  11,525,152
{txt}{col 1}Number of PSUs{col 20}= {res}      918{txt}{col 47}Population size{col 65}={res}  411,228,041
{txt}{col 47}Subpop. no. obs{col 65}={res}   10,852,081
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 1}Model VCE{col 14}: {res}Linearized{txt}{col 47}Design df{col 65}= {res}         917

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(Suic), predict(pr)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:std_same_~t5}{space 4}{txt:=} {space 2}-4.713632}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:std_same_~t5}{space 4}{txt:=} {space 2}-2.769278}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:std_same_~t5}{space 4}{txt:=} {space 2}-.8249235}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:std_same_~t5}{space 4}{txt:=} {space 3}1.119431}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:std_same_~t5}{space 4}{txt:=} {space 3}3.063785}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:std_same_~t5}{space 4}{txt:=} {space 3}5.008139}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_at#MarStat5 {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .0000683{col 26}{space 2} 6.20e-06{col 37}{space 1}   11.03{col 46}{space 3}0.000{col 54}{space 4} .0000562{col 67}{space 3} .0000805
{txt}{space 8}1 2  {c |}{col 14}{res}{space 2} .0001135{col 26}{space 2} .0000181{col 37}{space 1}    6.28{col 46}{space 3}0.000{col 54}{space 4} .0000781{col 67}{space 3}  .000149
{txt}{space 8}1 3  {c |}{col 14}{res}{space 2} .0001247{col 26}{space 2} .0000106{col 37}{space 1}   11.77{col 46}{space 3}0.000{col 54}{space 4} .0001039{col 67}{space 3} .0001454
{txt}{space 8}1 4  {c |}{col 14}{res}{space 2} .0000237{col 26}{space 2} 8.89e-06{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} 6.23e-06{col 67}{space 3} .0000411
{txt}{space 8}1 5  {c |}{col 14}{res}{space 2} .0000653{col 26}{space 2} 6.17e-06{col 37}{space 1}   10.58{col 46}{space 3}0.000{col 54}{space 4} .0000532{col 67}{space 3} .0000774
{txt}{space 8}2 1  {c |}{col 14}{res}{space 2} .0000584{col 26}{space 2} 3.20e-06{col 37}{space 1}   18.26{col 46}{space 3}0.000{col 54}{space 4} .0000521{col 67}{space 3} .0000647
{txt}{space 8}2 2  {c |}{col 14}{res}{space 2} .0001033{col 26}{space 2} 9.06e-06{col 37}{space 1}   11.41{col 46}{space 3}0.000{col 54}{space 4} .0000855{col 67}{space 3} .0001211
{txt}{space 8}2 3  {c |}{col 14}{res}{space 2} .0001239{col 26}{space 2} 6.48e-06{col 37}{space 1}   19.11{col 46}{space 3}0.000{col 54}{space 4} .0001112{col 67}{space 3} .0001366
{txt}{space 8}2 4  {c |}{col 14}{res}{space 2} .0000345{col 26}{space 2} 8.36e-06{col 37}{space 1}    4.12{col 46}{space 3}0.000{col 54}{space 4} .0000181{col 67}{space 3} .0000509
{txt}{space 8}2 5  {c |}{col 14}{res}{space 2}  .000073{col 26}{space 2} 4.46e-06{col 37}{space 1}   16.38{col 46}{space 3}0.000{col 54}{space 4} .0000643{col 67}{space 3} .0000818
{txt}{space 8}3 1  {c |}{col 14}{res}{space 2} .0000499{col 26}{space 2} 1.22e-06{col 37}{space 1}   40.88{col 46}{space 3}0.000{col 54}{space 4} .0000476{col 67}{space 3} .0000523
{txt}{space 8}3 2  {c |}{col 14}{res}{space 2}  .000094{col 26}{space 2} 3.31e-06{col 37}{space 1}   28.39{col 46}{space 3}0.000{col 54}{space 4} .0000875{col 67}{space 3} .0001005
{txt}{space 8}3 3  {c |}{col 14}{res}{space 2} .0001231{col 26}{space 2} 3.24e-06{col 37}{space 1}   38.02{col 46}{space 3}0.000{col 54}{space 4} .0001168{col 67}{space 3} .0001295
{txt}{space 8}3 4  {c |}{col 14}{res}{space 2} .0000502{col 26}{space 2} 6.30e-06{col 37}{space 1}    7.97{col 46}{space 3}0.000{col 54}{space 4} .0000378{col 67}{space 3} .0000626
{txt}{space 8}3 5  {c |}{col 14}{res}{space 2} .0000817{col 26}{space 2} 2.57e-06{col 37}{space 1}   31.73{col 46}{space 3}0.000{col 54}{space 4} .0000766{col 67}{space 3} .0000867
{txt}{space 8}4 1  {c |}{col 14}{res}{space 2} .0000427{col 26}{space 2} 1.36e-06{col 37}{space 1}   31.30{col 46}{space 3}0.000{col 54}{space 4}   .00004{col 67}{space 3} .0000454
{txt}{space 8}4 2  {c |}{col 14}{res}{space 2} .0000856{col 26}{space 2} 6.64e-06{col 37}{space 1}   12.88{col 46}{space 3}0.000{col 54}{space 4} .0000725{col 67}{space 3} .0000986
{txt}{space 8}4 3  {c |}{col 14}{res}{space 2} .0001224{col 26}{space 2} 4.02e-06{col 37}{space 1}   30.47{col 46}{space 3}0.000{col 54}{space 4} .0001145{col 67}{space 3} .0001303
{txt}{space 8}4 4  {c |}{col 14}{res}{space 2} .0000731{col 26}{space 2} 7.95e-06{col 37}{space 1}    9.19{col 46}{space 3}0.000{col 54}{space 4} .0000575{col 67}{space 3} .0000887
{txt}{space 8}4 5  {c |}{col 14}{res}{space 2} .0000913{col 26}{space 2} 2.48e-06{col 37}{space 1}   36.86{col 46}{space 3}0.000{col 54}{space 4} .0000864{col 67}{space 3} .0000962
{txt}{space 8}5 1  {c |}{col 14}{res}{space 2} .0000365{col 26}{space 2} 2.39e-06{col 37}{space 1}   15.31{col 46}{space 3}0.000{col 54}{space 4} .0000318{col 67}{space 3} .0000412
{txt}{space 8}5 2  {c |}{col 14}{res}{space 2} .0000779{col 26}{space 2} .0000116{col 37}{space 1}    6.74{col 46}{space 3}0.000{col 54}{space 4} .0000552{col 67}{space 3} .0001006
{txt}{space 8}5 3  {c |}{col 14}{res}{space 2} .0001216{col 26}{space 2} 7.59e-06{col 37}{space 1}   16.03{col 46}{space 3}0.000{col 54}{space 4} .0001067{col 67}{space 3} .0001365
{txt}{space 8}5 4  {c |}{col 14}{res}{space 2} .0001065{col 26}{space 2} .0000231{col 37}{space 1}    4.61{col 46}{space 3}0.000{col 54}{space 4} .0000612{col 67}{space 3} .0001518
{txt}{space 8}5 5  {c |}{col 14}{res}{space 2} .0001021{col 26}{space 2} 5.55e-06{col 37}{space 1}   18.40{col 46}{space 3}0.000{col 54}{space 4} .0000912{col 67}{space 3}  .000113
{txt}{space 8}6 1  {c |}{col 14}{res}{space 2} .0000312{col 26}{space 2} 3.17e-06{col 37}{space 1}    9.83{col 46}{space 3}0.000{col 54}{space 4}  .000025{col 67}{space 3} .0000375
{txt}{space 8}6 2  {c |}{col 14}{res}{space 2} .0000709{col 26}{space 2} .0000157{col 37}{space 1}    4.50{col 46}{space 3}0.000{col 54}{space 4}   .00004{col 67}{space 3} .0001017
{txt}{space 8}6 3  {c |}{col 14}{res}{space 2} .0001209{col 26}{space 2} .0000116{col 37}{space 1}   10.46{col 46}{space 3}0.000{col 54}{space 4} .0000982{col 67}{space 3} .0001436
{txt}{space 8}6 4  {c |}{col 14}{res}{space 2} .0001551{col 26}{space 2}  .000054{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .0000491{col 67}{space 3} .0002611
{txt}{space 8}6 5  {c |}{col 14}{res}{space 2} .0001141{col 26}{space 2} 9.98e-06{col 37}{space 1}   11.44{col 46}{space 3}0.000{col 54}{space 4} .0000945{col 67}{space 3} .0001337
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. 
.         if (`model_version' == 6) {c -(}
.                 estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                 margin_interact std_same_prop_UnEmpl UnEmpl 5 `model'

                    {txt}std_same_prop_UnEmpl
{hline 61}
      Percentiles      Smallest
 1%    {res}-2.422866      -4.730212
{txt} 5%    {res}-1.463805      -4.730212
{txt}10%    {res}-1.055818      -4.730212       {txt}Obs         {res} 12,077,266
{txt}25%    {res}-.6145594      -4.730212       {txt}Sum of Wgt. {res}   12077266

{txt}50%    {res} .1524432                      {txt}Mean          {res}  .024319
                        {txt}Largest       Std. Dev.     {res} .9452522
{txt}75%    {res} .6237007       4.342203
{txt}90%    {res} 1.073043       4.342203       {txt}Variance      {res} .8935017
{txt}95%    {res} 1.334072       4.342203       {txt}Skewness      {res}-1.060651
{txt}99%    {res} 1.864986       4.342203       {txt}Kurtosis      {res} 7.540947

{txt}Predictive margins

{col 1}Number of strata{col 20}= {res}        1{txt}{col 47}Number of obs{col 65}= {res}  11,525,152
{txt}{col 1}Number of PSUs{col 20}= {res}      918{txt}{col 47}Population size{col 65}={res}  411,228,041
{txt}{col 47}Subpop. no. obs{col 65}={res}   10,852,081
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 1}Model VCE{col 14}: {res}Linearized{txt}{col 47}Design df{col 65}= {res}         917

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(Suic), predict(pr)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:std_same_p~l}{space 4}{txt:=} {space 2}-4.730212}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:std_same_p~l}{space 4}{txt:=} {space 2}-2.915729}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:std_same_p~l}{space 4}{txt:=} {space 2}-1.101246}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:std_same_p~l}{space 4}{txt:=} {space 4}.713237}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:std_same_p~l}{space 4}{txt:=} {space 4}2.52772}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:std_same_p~l}{space 4}{txt:=} {space 3}4.342203}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}_at#UnEmpl {c |}
{space 8}1 0  {c |}{col 14}{res}{space 2}  .000076{col 26}{space 2} .0000135{col 37}{space 1}    5.65{col 46}{space 3}0.000{col 54}{space 4} .0000496{col 67}{space 3} .0001024
{txt}{space 8}1 1  {c |}{col 14}{res}{space 2} .0003307{col 26}{space 2} .0000737{col 37}{space 1}    4.49{col 46}{space 3}0.000{col 54}{space 4} .0001861{col 67}{space 3} .0004753
{txt}{space 8}2 0  {c |}{col 14}{res}{space 2} .0000673{col 26}{space 2} 7.50e-06{col 37}{space 1}    8.98{col 46}{space 3}0.000{col 54}{space 4} .0000526{col 67}{space 3}  .000082
{txt}{space 8}2 1  {c |}{col 14}{res}{space 2} .0003317{col 26}{space 2} .0000463{col 37}{space 1}    7.16{col 46}{space 3}0.000{col 54}{space 4} .0002409{col 67}{space 3} .0004226
{txt}{space 8}3 0  {c |}{col 14}{res}{space 2} .0000596{col 26}{space 2} 2.89e-06{col 37}{space 1}   20.59{col 46}{space 3}0.000{col 54}{space 4} .0000539{col 67}{space 3} .0000653
{txt}{space 8}3 1  {c |}{col 14}{res}{space 2} .0003328{col 26}{space 2} .0000204{col 37}{space 1}   16.28{col 46}{space 3}0.000{col 54}{space 4} .0002926{col 67}{space 3} .0003729
{txt}{space 8}4 0  {c |}{col 14}{res}{space 2} .0000527{col 26}{space 2} 1.84e-06{col 37}{space 1}   28.69{col 46}{space 3}0.000{col 54}{space 4} .0000491{col 67}{space 3} .0000564
{txt}{space 8}4 1  {c |}{col 14}{res}{space 2} .0003338{col 26}{space 2} .0000167{col 37}{space 1}   19.98{col 46}{space 3}0.000{col 54}{space 4}  .000301{col 67}{space 3} .0003666
{txt}{space 8}5 0  {c |}{col 14}{res}{space 2} .0000467{col 26}{space 2} 4.43e-06{col 37}{space 1}   10.55{col 46}{space 3}0.000{col 54}{space 4}  .000038{col 67}{space 3} .0000554
{txt}{space 8}5 1  {c |}{col 14}{res}{space 2} .0003349{col 26}{space 2} .0000419{col 37}{space 1}    7.99{col 46}{space 3}0.000{col 54}{space 4} .0002526{col 67}{space 3} .0004171
{txt}{space 8}6 0  {c |}{col 14}{res}{space 2} .0000413{col 26}{space 2} 6.62e-06{col 37}{space 1}    6.24{col 46}{space 3}0.000{col 54}{space 4} .0000283{col 67}{space 3} .0000543
{txt}{space 8}6 1  {c |}{col 14}{res}{space 2} .0003359{col 26}{space 2} .0000699{col 37}{space 1}    4.81{col 46}{space 3}0.000{col 54}{space 4} .0001988{col 67}{space 3} .0004731
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}.                 estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                 margin_interact std_same_prop_PhysProb PhysProb 5 `model'

                   {txt}std_same_prop_PhysProb
{hline 61}
      Percentiles      Smallest
 1%    {res} -2.23507      -3.407377
{txt} 5%    {res}-1.302234      -3.407377
{txt}10%    {res}-.9170214      -3.407377       {txt}Obs         {res} 12,319,306
{txt}25%    {res}-.4860743      -3.407377       {txt}Sum of Wgt. {res}   12319306

{txt}50%    {res} .3726953                      {txt}Mean          {res}  .279716
                        {txt}Largest       Std. Dev.     {res} .9714569
{txt}75%    {res} .9583569       3.406658
{txt}90%    {res}  1.46031       3.406658       {txt}Variance      {res} .9437286
{txt}95%    {res} 1.737546       3.406658       {txt}Skewness      {res} -.364164
{txt}99%    {res} 2.235158       3.406658       {txt}Kurtosis      {res} 3.305013

{txt}Predictive margins

{col 1}Number of strata{col 20}= {res}        1{txt}{col 47}Number of obs{col 65}= {res}  11,525,152
{txt}{col 1}Number of PSUs{col 20}= {res}      918{txt}{col 47}Population size{col 65}={res}  411,228,041
{txt}{col 47}Subpop. no. obs{col 65}={res}   10,852,081
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 1}Model VCE{col 14}: {res}Linearized{txt}{col 47}Design df{col 65}= {res}         917

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(Suic), predict(pr)}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:std_same_p~b}{space 4}{txt:=} {space 2}-3.407377}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:std_same_p~b}{space 4}{txt:=} {space 3}-2.04457}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:std_same_p~b}{space 4}{txt:=} {space 3}-.681763}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:std_same_p~b}{space 4}{txt:=} {space 3}.6810441}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:std_same_p~b}{space 4}{txt:=} {space 3}2.043851}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:std_same_p~b}{space 4}{txt:=} {space 3}3.406658}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_at#PhysProb {c |}
{space 8}1 0  {c |}{col 14}{res}{space 2} .0000761{col 26}{space 2} .0000109{col 37}{space 1}    6.96{col 46}{space 3}0.000{col 54}{space 4} .0000547{col 67}{space 3} .0000976
{txt}{space 8}1 1  {c |}{col 14}{res}{space 2} .0002463{col 26}{space 2} .0000334{col 37}{space 1}    7.36{col 46}{space 3}0.000{col 54}{space 4} .0001807{col 67}{space 3}  .000312
{txt}{space 8}2 0  {c |}{col 14}{res}{space 2} .0000712{col 26}{space 2} 6.93e-06{col 37}{space 1}   10.28{col 46}{space 3}0.000{col 54}{space 4} .0000576{col 67}{space 3} .0000848
{txt}{space 8}2 1  {c |}{col 14}{res}{space 2} .0001668{col 26}{space 2} .0000131{col 37}{space 1}   12.75{col 46}{space 3}0.000{col 54}{space 4} .0001412{col 67}{space 3} .0001925
{txt}{space 8}3 0  {c |}{col 14}{res}{space 2} .0000666{col 26}{space 2} 3.46e-06{col 37}{space 1}   19.25{col 46}{space 3}0.000{col 54}{space 4} .0000598{col 67}{space 3} .0000734
{txt}{space 8}3 1  {c |}{col 14}{res}{space 2}  .000113{col 26}{space 2} 4.07e-06{col 37}{space 1}   27.75{col 46}{space 3}0.000{col 54}{space 4}  .000105{col 67}{space 3}  .000121
{txt}{space 8}4 0  {c |}{col 14}{res}{space 2} .0000623{col 26}{space 2} 1.14e-06{col 37}{space 1}   54.60{col 46}{space 3}0.000{col 54}{space 4} .0000601{col 67}{space 3} .0000646
{txt}{space 8}4 1  {c |}{col 14}{res}{space 2} .0000765{col 26}{space 2} 4.78e-06{col 37}{space 1}   16.01{col 46}{space 3}0.000{col 54}{space 4} .0000671{col 67}{space 3} .0000859
{txt}{space 8}5 0  {c |}{col 14}{res}{space 2} .0000583{col 26}{space 2} 2.84e-06{col 37}{space 1}   20.51{col 46}{space 3}0.000{col 54}{space 4} .0000527{col 67}{space 3} .0000639
{txt}{space 8}5 1  {c |}{col 14}{res}{space 2} .0000518{col 26}{space 2} 6.12e-06{col 37}{space 1}    8.46{col 46}{space 3}0.000{col 54}{space 4} .0000398{col 67}{space 3} .0000638
{txt}{space 8}6 0  {c |}{col 14}{res}{space 2} .0000545{col 26}{space 2} 5.12e-06{col 37}{space 1}   10.65{col 46}{space 3}0.000{col 54}{space 4} .0000445{col 67}{space 3} .0000646
{txt}{space 8}6 1  {c |}{col 14}{res}{space 2} .0000351{col 26}{space 2} 6.23e-06{col 37}{space 1}    5.64{col 46}{space 3}0.000{col 54}{space 4} .0000229{col 67}{space 3} .0000473
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}.         {c )-}
. 
. {c )-}
{txt}
{com}. 
. 
. log close 
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/N/project/suicide_study/pnas_replication/results/log/logit_6.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}18 Aug 2020, 11:11:38
{txt}{.-}
{smcl}
{txt}{sf}{ul off}